A Simple yet Effective Method for Sentence Ordering

Aili Shen, Timothy Baldwin


Abstract
Sentence ordering is the task of arranging a given bag of sentences so as to maximise the coherence of the overall text. In this work, we propose a simple yet effective training method that improves the capacity of models to capture overall text coherence based on training over pairs of sentences/segments. Experimental results show the superiority of our proposed method in in- and cross-domain settings. The utility of our method is also verified over a multi-document summarisation task.
Anthology ID:
2021.sigdial-1.16
Volume:
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
July
Year:
2021
Address:
Singapore and Online
Editors:
Haizhou Li, Gina-Anne Levow, Zhou Yu, Chitralekha Gupta, Berrak Sisman, Siqi Cai, David Vandyke, Nina Dethlefs, Yan Wu, Junyi Jessy Li
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
154–160
Language:
URL:
https://aclanthology.org/2021.sigdial-1.16
DOI:
10.18653/v1/2021.sigdial-1.16
Bibkey:
Cite (ACL):
Aili Shen and Timothy Baldwin. 2021. A Simple yet Effective Method for Sentence Ordering. In Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 154–160, Singapore and Online. Association for Computational Linguistics.
Cite (Informal):
A Simple yet Effective Method for Sentence Ordering (Shen & Baldwin, SIGDIAL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.sigdial-1.16.pdf
Video:
 https://www.youtube.com/watch?v=HcurPPqHcrY